Risk factors and a predictive model of diabetic foot in hospitalized patients with type 2 diabetes

Figure 2 Predictive variable selection via the least absolute shrinkage and selection operator Cox regression model. The least absolute shrinkage and selection operator Cox regression model was constructed from 20 candidate variables, and the minimum standard was adopted to obtain the value of the super parameter λ by 10-fold cross-validation for variable selection. Dotted vertical lines were drawn at the optimal values by using the minimum criteria and the 1 standard error (SE) from the minimum criteria (the 1 - SE criteria).